Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew...
A major challenge within open markets is the ability to satisfy service demand with an adequate supply of service providers, especially when such demand may be volatile due to cha...
Mariusz Jacyno, Seth Bullock, Michael Luck, Terry ...
An integrated Belief-Desire-Intention (BDI) modeling framework is proposed for human decision making and planning, whose sub-modules are based on Bayesian belief network (BBN), De...
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on backgroun...
In this paper we present a formalisation of motivational attitudes, the attitudes that are the driving forces behind the actions of agents. We consider the statics of these attitu...
Bernd van Linder, Wiebe van der Hoek, John-Jules C...